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Solving the Wastewater Treatment Plant Problem with SMT
September 17, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Miquel Bofill, VΓctor MuΓ±oz, Javier Murillo
arXiv ID
1609.05367
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LO
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper we introduce the Wastewater Treatment Plant Problem, a real-world scheduling problem, and compare the performance of several tools on it. We show that, for a naive modeling, state-of-the-art SMT solvers outperform other tools ranging from mathematical programming to constraint programming. We use both real and randomly generated benchmarks. From this and similar results, we claim for the convenience of developing compiler front-ends being able to translate from constraint programming languages to the SMT-LIB standard language.
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